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Senior Forward Deployed Engineer (AI Infrastructure)

191 000 - 253 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Forward Deployed Engineer (AI Infrastructure): Deploying AI-native solutions and agentic workflows into complex enterprise healthcare environments with an accent on solution architecture, cloud-native deployments, and MCP Gateway integrations. Focus on building production-grade AI tools, optimizing large-scale data pipelines, and navigating strict healthcare compliance requirements.

Location: Must be based in the United States (Open to remote or hybrid in NYC/SF)

Salary: $191,000 - $253,000 USD

Company

hirify.global builds the Healthcare Map, the industry's largest view of the U.S. healthcare system, to reduce the global burden of disease through data-driven insights.

What you will do

  • Design, build, and deploy AI-native solutions, including MCP servers and agentic workflows, within customer cloud environments.
  • Own the infrastructure layer using Terraform-managed AWS environments, VPC networking, IAM, and security controls.
  • Build and optimize integrations with large-scale data systems such as Databricks, Delta Lake, Snowflake, and S3.
  • Lead technical engagements with customer stakeholders to scope requirements and explain technical tradeoffs.
  • Convert field learnings into reusable deployment patterns and engineering standards for the core platform.

Requirements

  • 7+ years of software engineering experience with a track record of owning production systems.
  • Hands-on experience building LLM-powered applications or agentic workflows (e.g., LangGraph, CrewAI).
  • Strong proficiency in Python and AWS/Terraform.
  • Experience with large-scale data platforms (Databricks, Snowflake, S3) and debugging pipeline failures.
  • Ability to design for regulated environments with constraints such as HIPAA, SOC 2, or BAA.
  • Based in the United States.

Nice to have

  • Experience with LLM evaluation frameworks like LangSmith, Braintrust, or Ragas.
  • Familiarity with healthcare or life sciences data (e.g., IQVIA data structures).
  • Experience with API gateway or service mesh patterns for AI tool integration.

Culture & Benefits

  • Hybrid work model with hubs in San Francisco, New York City, and Chicago.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) with company match.
  • Flexible time off and holidays.
  • Strong internal AI standard emphasizing the integration of AI into daily workflows.

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